{"id":"W6958287144","doi":"10.60692/vf975-avv65","title":"The state of integrated disease surveillance in seven countries: a synthesis report","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Public Health Agency of Canada","funders":"","keywords":"Conceptualization; CLARITY; Workforce; Disease surveillance; Focus group; Public health surveillance; Data sharing; Public health; Qualitative research","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141544,0.0001609607,0.000374648,0.0002814558,0.00007374206,0.00006377067,0.0001647935,0.00003839041,0.00001261385],"category_scores_gemma":[0.0007248299,0.0001060896,0.00008603925,0.0008047432,0.00007982628,0.0002760719,0.0000631811,0.0000862588,0.0005325695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715662,"about_ca_system_score_gemma":0.0002878177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004162508,"about_ca_topic_score_gemma":0.000005025958,"domain_scores_codex":[0.9979008,0.0001282131,0.001029036,0.0001582467,0.0005008468,0.0002829016],"domain_scores_gemma":[0.9981783,0.00008479816,0.000471241,0.0007472969,0.0003694337,0.0001489313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007352416,0.000003000319,0.9868336,0.001008292,0.00007644243,0.0002231483,0.009119293,0.0002531811,6.95703e-7,0.00001746352,0.0008205746,0.0009090398],"study_design_scores_gemma":[0.0007168583,0.00001581767,0.9820447,0.0005795141,0.00002118776,0.0000466008,0.005279352,0.006195926,0.0000634961,0.000001851522,0.004894414,0.0001402687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949288,0.00001313726,0.0003834297,0.0002206759,0.0002265727,0.0007093739,0.002406037,0.0003578446,0.000754145],"genre_scores_gemma":[0.9990354,0.000003750848,0.00001511897,0.00005247891,0.00001897656,0.0001642528,0.0003005205,0.00001362368,0.0003958576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005942745,"threshold_uncertainty_score":0.6845281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01938445614640141,"score_gpt":0.2368284188215422,"score_spread":0.2174439626751408,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}